We can now extend the above results in the context of feedback-evolving games, namely when the payoff matrix depends on an environmental resource \(n\) , in line with the work by Weitz et al. [1]}. We define our game-environment feedback dynamics as
\(\begin{array}{lll}\epsilon \dot{x} = (1 - x) [r_1(x,A(n)) - r_2(x,(A(n))]_+ - x [r_2(x,A(n)) - r_1(x,A(n))]_+, \\\dot{n} = n (1 - n) [(1 + \lambda ) x -1].\end{array}\) 
